Artificial Intelligence-Based Cybersecurity for Connected and Automated Vehicles - by Jordi Guijarro & Saber Mhiri & You-Jun Choi (Hardcover)

About the Book

The book covers Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles

Book Synopsis

The damaging effects of cyberattacks to an industry like the Cooperative Connected and Automated Mobility (CCAM) can be tremendous. From the least important to the worst ones, one can mention for example the damage in the reputation of vehicle manufacturers, the increased denial of customers to adopt CCAM, the loss of working hours (having direct impact on the European GDP), material damages, increased environmental pollution due e.g., to traffic jams or malicious modifications in sensors' firmware, and ultimately, the great danger for human lives, either they are drivers, passengers or pedestrians.

Connected vehicles will soon become a reality on our roads, bringing along new services and capabilities, but also technical challenges and security threats. To overcome these risks, the CARAMEL project has developed several anti-hacking solutions for the new generation of vehicles.

CARAMEL (Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles), a research project co-funded by the European Union under the Horizon 2020 framework programme, is a project consortium with 15 organizations from 8 European countries together with 3 Korean partners. The project applies a proactive approach based on Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. This approach has been addressed based on four fundamental pillars, namely: Autonomous Mobility, Connected Mobility, Electromobility, and Remote Control Vehicle. This book presents theory and results from each of these technical directions.

Review Quotes

The main goal of the project was the development of a more secure driving experience for the connected and automated vehicles and was built around four innovation pillars: the autonomous vehicle, the connected vehicle, the plug-in electrical vehicle and the remote control vehicle. The project, and hence the book, has delivered exceptional results with significant immediate or potential impact The project has achieved all of its objectives and milestones for the period and went much beyond the dissemination objectives. Project Manager, European Commission

About the Author

Jordi Guijarro Olivares is working as the Cybersecurity Innovation Director at i2CAT. With more than 20 years in ICT sector, he is an expert in cloud oriented and cybersecurity services. In cybersecurity arena he has experience in managing CERT/CSIRT teams employing proactive, reactive and value-added security services such as perimeter protection, infrastructure hardening, intrusion/anomaly detection, incident handling, etc. He also combines his work at i2CAT with the participation in European and national projects, and collaborates in high education programs with some universities (UPC, UOC, VIU). He obtained his bachelor in Computing Engineering at the Open University of Catalonia (UOC) and a Master in ICT Management at Universitat Ramon Llull (URL).

Saber Mhiri is a senior researcher at i2CAT Foundation. He has a master's degree from the higher institute of computer science and multimedia of Gabes (ISIMG) in 2014. He obtained his Ph.D. degree from the University of Vigo after preparing a thesis on Optimization Access Point Assignment Algorithms in SDN-Controlled Wireless Access Networks with the GTI team in 2019. At i2CAT Foundation, he contributes to the research activity of the cybersecurity department and is actively involved in collaborative research projects. His research interests include IoT and CCAM cybersecurity as well as network security.

Choi You Jun/Ph.D is the Lab. leader of Mobility Safety Lab./Automated Driving Tech. Research Division/Korea Automotive Technology Institute, Ph.D in Transportation Engineering (2018) and ISO TC204 SWG17.1 Convenor